data

In discovr: Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"

To work outside of this tutorial you need to download the following data file:

• invisibility.csv
• invisibility_rm.csv

Set up an r rstudio() project in the way that I recommend in this video, and save the data files to the folder within your project called [data]{.alt}. Place this code in the first code chunk in your r quarto() document:

cloak_tib <- here::here("data/invisibility.csv") |> read_csv()
cloak_rm_tib <- here::here("data/invisibility_rm.csv") |> read_csv()

Preparing data

To work outside of this tutorial you need to turn categorical variables into factors and set an appropriate baseline category using as_factor and fct_relevel from the forcats package. For [cloak_tib]{.alt} execute the following code:

cloak_tib <- here::here("data/invisibility.csv") |> 
  read_csv() |> 
  mutate(
    cloak = as_factor(cloak)
  )

For [cloak_rm_tib]{.alt} execute the following code:

cloak_rm_tib <- here::here("data/invisibility_rm.csv") |> 
  read_csv() |>
  mutate(
    cloak = as_factor(cloak)
  )

discovr documentation built on Feb. 5, 2026, 5:07 p.m.